{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
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       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1002\">Loading BokehJS ...</span>\n",
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      "application/javascript": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  const JS_MIME_TYPE = 'application/javascript';\n  const HTML_MIME_TYPE = 'text/html';\n  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  const CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    const script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    const cell = handle.cell;\n\n    const id = cell.output_area._bokeh_element_id;\n    const server_id = cell.output_area._bokeh_server_id;\n    // Clean up Bokeh references\n    if (id != null && id in Bokeh.index) {\n      Bokeh.index[id].model.document.clear();\n      delete Bokeh.index[id];\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd_clean, {\n        iopub: {\n          output: function(msg) {\n            const id = msg.content.text.trim();\n            if (id in Bokeh.index) {\n              Bokeh.index[id].model.document.clear();\n              delete Bokeh.index[id];\n            }\n          }\n        }\n      });\n      // Destroy server and session\n      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd_destroy);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    const output_area = handle.output_area;\n    const output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n      return\n    }\n\n    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      const bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      const script_attrs = bk_div.children[0].attributes;\n      for (let i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      const toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    const events = require('base/js/events');\n    const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.0.min.js\"];\n  const css_urls = [];\n  \n\n  const inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
      "application/vnd.bokehjs_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import torch\n",
    "import os\n",
    "import datetime as dt\n",
    "import pandas as pd\n",
    "import akshare as ak\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import Dataset\n",
    "from torch.utils.data import DataLoader\n",
    "from bokeh.plotting import figure, show\n",
    "from bokeh.layouts import gridplot\n",
    "from bokeh.io import output_notebook\n",
    "output_notebook()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "config = {\n",
    "    \"data\": {\n",
    "        \"window_size\": 20,\n",
    "        \"train_split_size\": 0.80,\n",
    "    },\n",
    "    \"plots\": {\n",
    "        \"show_plots\": True,\n",
    "        \"xticks_interval\": 90,\n",
    "        \"color_actual\": \"#001f3f\",\n",
    "        \"color_train\": \"#3D9970\",\n",
    "        \"color_val\": \"#0074D9\",\n",
    "        \"color_pred_train\": \"#3D9970\",\n",
    "        \"color_pred_val\": \"#0074D9\",\n",
    "        \"color_pred_test\": \"#FF4136\",\n",
    "    },\n",
    "    \"model\": {\n",
    "        \"input_size\": 1,  # since we are only using 1 feature, close price\n",
    "        \"num_lstm_layers\": 2,\n",
    "        \"lstm_size\": 32,\n",
    "        \"dropout\": 0.2,\n",
    "    },\n",
    "    \"training\": {\n",
    "        \"device\": \"cpu\",  # \"cuda\" or \"cpu\"\n",
    "        \"batch_size\": 64,\n",
    "        \"num_epoch\": 100,\n",
    "        \"learning_rate\": 0.01,\n",
    "        \"scheduler_step_size\": 40,\n",
    "    }\n",
    "}\n",
    "\n",
    "\n",
    "def prepare_data_x(x, window_size):\n",
    "    # perform windowing\n",
    "    n_row = x.shape[0] - window_size + 1\n",
    "    output = np.lib.stride_tricks.as_strided(\n",
    "        x, shape=(n_row, window_size), strides=(x.strides[0], x.strides[0]))\n",
    "    return output[:-1], output[-1]\n",
    "\n",
    "\n",
    "def prepare_data_y(x, window_size):\n",
    "    # # perform simple moving average\n",
    "    # output = np.convolve(x, np.ones(window_size), 'valid') / window_size\n",
    "\n",
    "    # use the next day as label\n",
    "    output = x[window_size:]\n",
    "    return output\n",
    "\n",
    "\n",
    "def prepare_data(normalized_data_close_price, config):\n",
    "    data_x, data_x_unseen = prepare_data_x(\n",
    "        normalized_data_close_price, window_size=config[\"data\"][\"window_size\"])\n",
    "    data_y = prepare_data_y(normalized_data_close_price,\n",
    "                            window_size=config[\"data\"][\"window_size\"])\n",
    "\n",
    "    # split dataset\n",
    "    split_index = int(data_y.shape[0]*config[\"data\"][\"train_split_size\"])\n",
    "    data_x_train = data_x[:split_index]\n",
    "    data_x_val = data_x[split_index:]\n",
    "    data_y_train = data_y[:split_index]\n",
    "    data_y_val = data_y[split_index:]\n",
    "    return split_index, data_x_train, data_y_train, data_x_val, data_y_val, data_x_unseen\n",
    "\n",
    "class Normalizer():\n",
    "    def __init__(self):\n",
    "        self.mu = None\n",
    "        self.sd = None\n",
    "\n",
    "    def fit_transform(self, x):\n",
    "        self.mu = np.mean(x, axis=(0), keepdims=True)\n",
    "        self.sd = np.std(x, axis=(0), keepdims=True)\n",
    "        normalized_x = (x - self.mu)/self.sd\n",
    "        return normalized_x\n",
    "\n",
    "    def inverse_transform(self, x):\n",
    "        return (x*self.sd) + self.mu\n",
    "scalar=Normalizer()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def b_candles_k(symbol, market='zh_a', start_date=None, end_date=None):\n",
    "    if market == 'zh_a':\n",
    "        df = ak.stock_zh_a_hist(\n",
    "            symbol=symbol, start_date=start_date, end_date=end_date,adjust=\"qfq\")\n",
    "    elif market == 'us':\n",
    "        df = ak.stock_us_hist(\n",
    "            symbol=symbol, start_date=start_date, end_date=end_date,adjust=\"qfq\")\n",
    "    df['日期'] = df['日期'].astype('datetime64')\n",
    "    inc = df['收盘'] > df['开盘']\n",
    "    dec = df['开盘'] > df['收盘']\n",
    "    df['均价']=df['成交额']/df['成交量']/100\n",
    "    w = 12*60*60*1000  # half day in ms\n",
    "    p = figure(title=symbol,height=250, plot_width=1500, x_axis_type=\"datetime\",\n",
    "               tooltips=[('index', '$index'), ('data (x, y)','($x, $y)')])\n",
    "    p.segment(df['日期'][inc], df['最高'][inc],\n",
    "              df['日期'][inc], df['最低'][inc], color=\"red\")\n",
    "    p.segment(df['日期'][dec], df['最高'][dec],\n",
    "              df['日期'][dec], df['最低'][dec], color=\"green\")\n",
    "    p.vbar(df['日期'][inc], w, df['开盘'][inc], df['收盘'][inc],\n",
    "           fill_color=None, line_color=\"red\")\n",
    "    p.vbar(df['日期'][dec], w, df['开盘'][dec], df['收盘'][dec],\n",
    "           fill_color=\"green\", line_color=\"green\")\n",
    "    v = figure(height=100,plot_width=1500, x_axis_type=\"datetime\",\n",
    "               tooltips=[('index', '$index'), ('data (x, y)', '($x, $y)')])\n",
    "    v.vbar(df['日期'][inc], w, 0, df['成交额'][inc],\n",
    "           fill_color=None, line_color=\"red\")\n",
    "    v.vbar(df['日期'][dec], w, 0, df['成交额'][dec],\n",
    "           fill_color=\"green\", line_color=\"green\")\n",
    "\n",
    "    grid=gridplot([[p],[v]])\n",
    "    show(grid)\n",
    "    \n",
    "    return [df, grid]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "\n",
       "\n",
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       "  <div class=\"bk-root\" id=\"92a06a1c-4cc8-4e6d-ab38-acb17a7befb2\" data-root-id=\"2180\"></div>\n"
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(x, y)\",\"($x, $y)\"]]},\"id\":\"2044\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"2027\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2040\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"2042\",\"type\":\"HelpTool\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2127\"},\"group\":null,\"major_label_policy\":{\"id\":\"2128\"},\"ticker\":{\"id\":\"2030\"}},\"id\":\"2029\",\"type\":\"DatetimeAxis\"}],\"root_ids\":[\"2180\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.0\"}};\n  const render_items = [{\"docid\":\"e05934ca-668c-4d52-be67-2c3b5df91edd\",\"root_ids\":[\"2180\"],\"roots\":{\"2180\":\"92a06a1c-4cc8-4e6d-ab38-acb17a7befb2\"}}];\n  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2180"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "zh000002,s = b_candles_k('000002',start_date='2010-10-10',end_date='2021-10-10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "      <th>均价</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-10-11</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.80</td>\n",
       "      <td>1.95</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1814206</td>\n",
       "      <td>1.585425e+09</td>\n",
       "      <td>44.29</td>\n",
       "      <td>28.57</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.88</td>\n",
       "      <td>8.738945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-10-12</td>\n",
       "      <td>1.76</td>\n",
       "      <td>1.76</td>\n",
       "      <td>1.94</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1237671</td>\n",
       "      <td>1.093711e+09</td>\n",
       "      <td>17.22</td>\n",
       "      <td>-2.22</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>1.28</td>\n",
       "      <td>8.836852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-10-13</td>\n",
       "      <td>1.78</td>\n",
       "      <td>2.36</td>\n",
       "      <td>2.61</td>\n",
       "      <td>1.78</td>\n",
       "      <td>2543092</td>\n",
       "      <td>2.382541e+09</td>\n",
       "      <td>47.16</td>\n",
       "      <td>34.09</td>\n",
       "      <td>0.60</td>\n",
       "      <td>2.63</td>\n",
       "      <td>9.368678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-10-14</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.36</td>\n",
       "      <td>2.64</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1869189</td>\n",
       "      <td>1.772151e+09</td>\n",
       "      <td>16.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.94</td>\n",
       "      <td>9.480853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-10-15</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.51</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1656980</td>\n",
       "      <td>1.566788e+09</td>\n",
       "      <td>12.71</td>\n",
       "      <td>6.36</td>\n",
       "      <td>0.15</td>\n",
       "      <td>1.72</td>\n",
       "      <td>9.455687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2517</th>\n",
       "      <td>2021-09-27</td>\n",
       "      <td>20.15</td>\n",
       "      <td>19.81</td>\n",
       "      <td>20.38</td>\n",
       "      <td>19.71</td>\n",
       "      <td>693130</td>\n",
       "      <td>1.380074e+09</td>\n",
       "      <td>3.30</td>\n",
       "      <td>-2.51</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.71</td>\n",
       "      <td>19.910747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2518</th>\n",
       "      <td>2021-09-28</td>\n",
       "      <td>20.32</td>\n",
       "      <td>21.08</td>\n",
       "      <td>21.66</td>\n",
       "      <td>20.32</td>\n",
       "      <td>2103435</td>\n",
       "      <td>4.437843e+09</td>\n",
       "      <td>6.76</td>\n",
       "      <td>6.41</td>\n",
       "      <td>1.27</td>\n",
       "      <td>2.16</td>\n",
       "      <td>21.098076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2519</th>\n",
       "      <td>2021-09-29</td>\n",
       "      <td>21.30</td>\n",
       "      <td>21.17</td>\n",
       "      <td>21.50</td>\n",
       "      <td>20.94</td>\n",
       "      <td>1092349</td>\n",
       "      <td>2.317155e+09</td>\n",
       "      <td>2.66</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.12</td>\n",
       "      <td>21.212586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2520</th>\n",
       "      <td>2021-09-30</td>\n",
       "      <td>21.45</td>\n",
       "      <td>21.31</td>\n",
       "      <td>21.88</td>\n",
       "      <td>21.09</td>\n",
       "      <td>1005860</td>\n",
       "      <td>2.159366e+09</td>\n",
       "      <td>3.73</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.14</td>\n",
       "      <td>1.04</td>\n",
       "      <td>21.467855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2521</th>\n",
       "      <td>2021-10-08</td>\n",
       "      <td>21.48</td>\n",
       "      <td>21.24</td>\n",
       "      <td>21.69</td>\n",
       "      <td>21.09</td>\n",
       "      <td>732687</td>\n",
       "      <td>1.562199e+09</td>\n",
       "      <td>2.82</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.75</td>\n",
       "      <td>21.321512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2522 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             日期     开盘     收盘     最高     最低      成交量           成交额     振幅  \\\n",
       "0    2010-10-11   1.35   1.80   1.95   1.33  1814206  1.585425e+09  44.29   \n",
       "1    2010-10-12   1.76   1.76   1.94   1.63  1237671  1.093711e+09  17.22   \n",
       "2    2010-10-13   1.78   2.36   2.61   1.78  2543092  2.382541e+09  47.16   \n",
       "3    2010-10-14   2.40   2.36   2.64   2.26  1869189  1.772151e+09  16.10   \n",
       "4    2010-10-15   2.32   2.51   2.56   2.26  1656980  1.566788e+09  12.71   \n",
       "...         ...    ...    ...    ...    ...      ...           ...    ...   \n",
       "2517 2021-09-27  20.15  19.81  20.38  19.71   693130  1.380074e+09   3.30   \n",
       "2518 2021-09-28  20.32  21.08  21.66  20.32  2103435  4.437843e+09   6.76   \n",
       "2519 2021-09-29  21.30  21.17  21.50  20.94  1092349  2.317155e+09   2.66   \n",
       "2520 2021-09-30  21.45  21.31  21.88  21.09  1005860  2.159366e+09   3.73   \n",
       "2521 2021-10-08  21.48  21.24  21.69  21.09   732687  1.562199e+09   2.82   \n",
       "\n",
       "        涨跌幅   涨跌额   换手率         均价  \n",
       "0     28.57  0.40  1.88   8.738945  \n",
       "1     -2.22 -0.04  1.28   8.836852  \n",
       "2     34.09  0.60  2.63   9.368678  \n",
       "3      0.00  0.00  1.94   9.480853  \n",
       "4      6.36  0.15  1.72   9.455687  \n",
       "...     ...   ...   ...        ...  \n",
       "2517  -2.51 -0.51  0.71  19.910747  \n",
       "2518   6.41  1.27  2.16  21.098076  \n",
       "2519   0.43  0.09  1.12  21.212586  \n",
       "2520   0.66  0.14  1.04  21.467855  \n",
       "2521  -0.33 -0.07  0.75  21.321512  \n",
       "\n",
       "[2522 rows x 12 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zh000002"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>名称</th>\n",
       "      <th>每股未分配利润</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>688509</td>\n",
       "      <td>正元地信</td>\n",
       "      <td>0.546276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>002218</td>\n",
       "      <td>拓日新能</td>\n",
       "      <td>0.418843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>001212</td>\n",
       "      <td>中旗新材</td>\n",
       "      <td>2.609863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>301028</td>\n",
       "      <td>东亚机械</td>\n",
       "      <td>0.676682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>605488</td>\n",
       "      <td>福莱新材</td>\n",
       "      <td>2.086199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3058</th>\n",
       "      <td>600315</td>\n",
       "      <td>上海家化</td>\n",
       "      <td>6.752966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3059</th>\n",
       "      <td>000001</td>\n",
       "      <td>平安银行</td>\n",
       "      <td>6.760074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3060</th>\n",
       "      <td>300617</td>\n",
       "      <td>安靠智电</td>\n",
       "      <td>3.053751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3061</th>\n",
       "      <td>002107</td>\n",
       "      <td>沃华医药</td>\n",
       "      <td>0.323593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3062</th>\n",
       "      <td>002886</td>\n",
       "      <td>沃特股份</td>\n",
       "      <td>2.415723</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3063 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          代码    名称   每股未分配利润\n",
       "0     688509  正元地信  0.546276\n",
       "1     002218  拓日新能  0.418843\n",
       "2     001212  中旗新材  2.609863\n",
       "3     301028  东亚机械  0.676682\n",
       "4     605488  福莱新材  2.086199\n",
       "...      ...   ...       ...\n",
       "3058  600315  上海家化  6.752966\n",
       "3059  000001  平安银行  6.760074\n",
       "3060  300617  安靠智电  3.053751\n",
       "3061  002107  沃华医药  0.323593\n",
       "3062  002886  沃特股份  2.415723\n",
       "\n",
       "[3063 rows x 3 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_em_fhps_df = ak.stock_em_fhps(date=\"20201231\")\n",
    "stock_em_fhps_df[['代码','名称','每股未分配利润']]\n",
    "zh000002['日期'].apply(lambda x:ak.stock_em_fhps(date=x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Cannot index by location index with a non-integer key",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_3469/3901965879.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mstock_em_fhps_df\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mak\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstock_em_fhps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"20201231\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mstock_em_fhps_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'代码'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'名称'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'每股未分配利润'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'代码'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'688509'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/mnt/f/pyworkspace/pystock/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    929\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    930\u001b[0m             \u001b[0mmaybe_callable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 931\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmaybe_callable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    932\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    933\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_is_scalar_access\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/mnt/f/pyworkspace/pystock/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   1561\u001b[0m             \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1562\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1563\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Cannot index by location index with a non-integer key\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1564\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1565\u001b[0m             \u001b[0;31m# validate the location\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: Cannot index by location index with a non-integer key"
     ]
    }
   ],
   "source": [
    "stock_em_fhps_df = ak.stock_em_fhps(date=\"20201231\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>名称</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>688509</td>\n",
       "      <td>正元地信</td>\n",
       "      <td>0.546276</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "       代码    名称   每股未分配利润\n",
       "0  688509  正元地信  0.546276"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_em_fhps_df[['代码','名称','每股未分配利润']][stock_em_fhps_df['代码']=='688509']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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